Data Scientist III - AMZ9976173
Multiple positions available.
About the role
Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product and with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy.
Schedule
40 hours per week, 8:00 AM – 5:00 PM.
Pay
Salary range: $183,000 – $247,600 per year.
Benefits
Amazon offers a total compensation package that may include equity, sign-on payments, and other forms of compensation in addition to a full range of medical, financial, and other benefits. For more information, visit Amazon Employee Benefits.
Requirements
Master’s degree or foreign equivalent in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and two years of experience in the job offered or a related occupation. Alternatively, a Bachelor’s degree or foreign equivalent in the same fields and five years of progressive post-baccalaureate experience may be accepted.
Skills
- One year of experience building statistical models and machine learning models using large datasets from multiple resources.
- One year of experience building complex data analyses by leveraging scripting languages including Python, Java, or related scripting language.
- One year of experience communicating with users, technical teams, and management to collect requirements, evaluate alternatives, and develop processes and tools to support the organization.